Ross D. Williams

1.0k total citations
24 papers, 395 citations indexed

About

Ross D. Williams is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Ross D. Williams has authored 24 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Epidemiology. Recurrent topics in Ross D. Williams's work include Machine Learning in Healthcare (9 papers), Nutrition and Health in Aging (5 papers) and Colorectal Cancer Screening and Detection (3 papers). Ross D. Williams is often cited by papers focused on Machine Learning in Healthcare (9 papers), Nutrition and Health in Aging (5 papers) and Colorectal Cancer Screening and Detection (3 papers). Ross D. Williams collaborates with scholars based in Netherlands, United States and Belgium. Ross D. Williams's co-authors include Emmely W. de Roos, Lies Lahousse, Katerina Trajanoska, Elizabeth Benz, Fernando Rivadeneira, Guy Brusselle, Peter R. Rijnbeek, Josje D. Schoufour, Natalie Terzikhan and Oscar H. Franco and has published in prestigious journals such as Journal of the American Medical Informatics Association, Age and Ageing and BMC Medical Research Methodology.

In The Last Decade

Ross D. Williams

20 papers receiving 386 citations

Peers

Ross D. Williams

PHYSI

PRM

EPIDE

Wann-Cherng Perng Taiwan

Puru Rattan United States

Hyue Mee Kim South Korea

Dagmar F. Hernández-Suárez Puerto Rico

Joseph B. Leader United States

Miye Wang China

Julian S. Haimovich United States

Kengo Tanabe Japan

Noraidatulakma Abdullah Malaysia

Timothy Williams United Kingdom

Wann-Cherng Perng Taiwan

Ross D. Williams

42 ×0.3

PHYSI

128 ×0.9

PRM

31 ×0.4

71 ×1.3

EPIDE

15 ×0.3

Citations per year, relative to Ross D. Williams Ross D. Williams (= 1×) peers Wann-Cherng Perng

Countries citing papers authored by Ross D. Williams

Since Specialization

Citations

This map shows the geographic impact of Ross D. Williams's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ross D. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ross D. Williams more than expected).

Fields of papers citing papers by Ross D. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ross D. Williams. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ross D. Williams. The network helps show where Ross D. Williams may publish in the future.

Co-authorship network of co-authors of Ross D. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Ross D. Williams. A scholar is included among the top collaborators of Ross D. Williams based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ross D. Williams. Ross D. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Reps, Jenna, Egill A. Friðgeirsson, Chungsoo Kim, et al.. (2025). Finding a constrained number of predictor phenotypes for multiple outcome prediction. BMJ Health & Care Informatics. 32(1). e101227–e101227.

Williams, Ross D., et al.. (2025). Longitudinal trajectories of polypharmacy in older people, and their association with the risk of mortality: a joint latent class model analysis of real-world data from the UK and the Netherlands. Age and Ageing. 54(8).

Markus, Aniek F., Egill A. Friðgeirsson, Luis H. John, et al.. (2025). Implementation and Updating of Clinical Prediction Models: A Systematic Review. PubMed. 3(3). 100228–100228. 2 indexed citations

Friðgeirsson, Egill A., Ross D. Williams, Peter Rijnbeek, Marc A. Suchard, & Jenna Reps. (2024). Comparing penalization methods for linear models on large observational health data. Journal of the American Medical Informatics Association. 31(7). 1514–1521. 2 indexed citations

Schuemie, Martijn J., Jenna Reps, Adam Black, et al.. (2024). Health-Analytics Data to Evidence Suite (HADES): Open-Source Software for Observational Research. Studies in health technology and informatics. 310. 966–970. 12 indexed citations

Hoyle, David C., et al.. (2024). Experimental demonstration of improved quantum optimization with linear Ising penalties. New Journal of Physics. 1 indexed citations

Williams, Ross D., et al.. (2024). Prediction of 30-day, 90-day, and 1-year mortality after colorectal cancer surgery using a data-driven approach. International Journal of Colorectal Disease. 39(1). 31–31.

Hiam, Danielle, et al.. (2023). The Role of Oestrogen in Female Skeletal Muscle Ageing: A Systematic Review. medRxiv.

Williams, Ross D., et al.. (2023). The DELPHI Library: Improving Model Validation, Transparency and Dissemination Through a Centralised Library of Prediction Models. Studies in health technology and informatics. 302. 139–140. 1 indexed citations

10.

Hiam, Danielle, et al.. (2023). The role of estrogen in female skeletal muscle aging: A systematic review. Maturitas. 178. 107844–107844. 30 indexed citations

11.

Friðgeirsson, Egill A., Luis H. John, Jan A. Kors, et al.. (2022). Use of unstructured text in prognostic clinical prediction models: a systematic review. medRxiv. 2 indexed citations

12.

Yang, Cynthia, Jan A. Kors, Luis H. John, et al.. (2022). Trends in the conduct and reporting of clinical prediction model development and validation: a systematic review. Journal of the American Medical Informatics Association. 29(5). 983–989. 39 indexed citations

13.

Williams, Ross D., Jenna Reps, Jan A. Kors, et al.. (2022). Using Iterative Pairwise External Validation to Contextualize Prediction Model Performance: A Use Case Predicting 1-Year Heart Failure Risk in Patients with Diabetes Across Five Data Sources. Drug Safety. 45(5). 563–570. 4 indexed citations

14.

Reps, Jenna, Ross D. Williams, Martijn J. Schuemie, Patrick Ryan, & Peter R. Rijnbeek. (2022). Learning patient-level prediction models across multiple healthcare databases: evaluation of ensembles for increasing model transportability. BMC Medical Informatics and Decision Making. 22(1). 142–142. 10 indexed citations

15.

Benz, Elizabeth, Sara Wijnant, Katerina Trajanoska, et al.. (2021). Sarcopenia, systemic immune-inflammation index and all-cause mortality in middle-aged and older people with COPD and asthma: a population-based study. ERJ Open Research. 8(1). 628–2021. 42 indexed citations

16.

Yang, Cynthia, Jan A. Kors, Luis H. John, et al.. (2021). Trends in the conduct and reporting of clinical prediction model development and validation: a systematic review. medRxiv. 3 indexed citations

17.

Williams, Ross D., et al.. (2021). Prediction of sustained biologic and targeted synthetic DMARD-free remission in rheumatoid arthritis patients. Rheumatology Advances in Practice. 5(3). rkab087–rkab087. 4 indexed citations

18.

Benz, Elizabeth, Katerina Trajanoska, Josje D. Schoufour, et al.. (2020). Sarcopenia in older people with chronic airway diseases: the Rotterdam study. ERJ Open Research. 7(1). 522–2020. 14 indexed citations

19.

Reps, Jenna, Ross D. Williams, Seng Chan You, et al.. (2020). Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation. BMC Medical Research Methodology. 20(1). 102–102. 22 indexed citations

20.

Benz, Elizabeth, Katerina Trajanoska, Lies Lahousse, et al.. (2019). Sarcopenia in COPD: a systematic review and meta-analysis. European Respiratory Review. 28(154). 190049–190049. 157 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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